{"id":"W6924690636","doi":"10.15468/dl.u5drpz","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Sexual function and dysfunction studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); Reference data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001068855,0.00185706,0.001536368,0.004569874,0.0009862873,0.002662097,0.00281606,0.002075684,0.1276845],"category_scores_gemma":[0.006796366,0.0008392928,0.001278605,0.008970673,0.0004433167,0.002059957,0.002326543,0.001987549,0.1890504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648152,"about_ca_system_score_gemma":0.002589364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302951,"about_ca_topic_score_gemma":0.03869124,"domain_scores_codex":[0.9989576,0.0001556159,0.0001450305,0.0003645552,0.0002213941,0.0001557487],"domain_scores_gemma":[0.9975304,0.0007498095,0.0002158834,0.0006186442,0.0006242557,0.0002610342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003543746,0.00001258698,0.0004856008,0.0006387158,0.00001838776,0.00001828658,0.00002494992,0.0001405799,0.0001209696,0.0004160066,0.9965106,0.001577977],"study_design_scores_gemma":[0.00008420442,0.000009176099,0.001928772,0.0002199751,0.00001773323,0.0000430583,0.00007454223,0.0001836689,0.0002001726,0.0008574561,0.9963627,0.00001837967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004535145,0.00003626667,0.0000467949,0.00004550586,0.00001177988,0.000006090289,0.9987904,0.000402105,0.0006157072],"genre_scores_gemma":[0.0001699572,0.00004488317,0.0002073438,0.00005316125,0.000003453692,0.00004269578,0.9988928,0.0001266515,0.00045902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8723155,"threshold_uncertainty_score":0.4271472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03590949910963439,"score_gpt":0.2638904954078111,"score_spread":0.2279809962981767,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}